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基于开发者协作关系和信息检索的需求跟踪系统
引用本文:李姣阳,李娟,杨达.基于开发者协作关系和信息检索的需求跟踪系统[J].计算机系统应用,2014,23(10):33-39.
作者姓名:李姣阳  李娟  杨达
作者单位:1. 中国科学院软件研究所 基础软件国家工程研究中心,北京 100190; 中国科学院大学,北京 100190
2. 中国科学院软件研究所 基础软件国家工程研究中心,北京,100190
基金项目:国家自然科学基金(91218302,61073044,61003028,71101138,61100071);北京市自然科学基金(4122087);核心电子器件、高端通用芯片及基础软件产品项目(2012ZX01039-004)
摘    要:目前自动化需求跟踪的研究广泛使用文本信息检索技术。然而信息检索会遗漏一些文本不相似但是实际相关的软件制品,导致自动化跟踪的精度不高。针对上述问题,提出利用开发者协作关系来进行优化,研发了基于开发者协作关系和信息检索的需求跟踪系统。该系统在进行需求跟踪时,首先用信息检索推荐与需求文本上相似的代码,然后从代码提交日志中挖掘开发者协作关系,根据开发者协作关系再推荐相关代码,用户根据两次推荐的结果确定正确的需求代码跟踪关系。试验结果表明该系统能够找到信息检索遗漏的需求跟踪关系,能够提高自动化跟踪的准确性,节省跟踪时间。

关 键 词:需求跟踪  软件需求  开发者协作关系  代码提交日志  信息检索
收稿时间:2014/2/25 0:00:00
修稿时间:4/2/2014 12:00:00 AM

Requirement-to-Code Traceability System Based on Developer Collaboration Relationship and Information Retrieval
LI Jiao-Yang,LI Juan and YANG Da.Requirement-to-Code Traceability System Based on Developer Collaboration Relationship and Information Retrieval[J].Computer Systems& Applications,2014,23(10):33-39.
Authors:LI Jiao-Yang  LI Juan and YANG Da
Institution:School of Engineering, University of Electronic Science and Technology of China, Chengdu 611731, China;Technology Department, Hunan Broadcasting System, Changsha 410007, China;School of Engineering, University of Electronic Science and Technology of China, Chengdu 611731, China;School of Engineering, University of Electronic Science and Technology of China, Chengdu 611731, China
Abstract:Information retrieval (IR) is widely used in automatically discovering requirement traceability. However IR will miss some correct artifacts which have low text similarity with the requirement. There are accuracy issues in requirement traceability based on IR. To solve the problem, we propose an approach of using the developer collaborative relationship to improve the accuracy of the traceability links recovery between requirement and source code. Meanwhile, we develop a requirement-to-code traceability system. When the system is tracing, it retrieves the source code artifacts of the highest text similarity with the requirement and extracts the developer collaborative relationship from code commit logs. Then the system recommends some relevant code artifacts by developer collaboration relationship. Users can choose the correct code artifacts from the recommend result. The experiment shows that the requirement traceability system could improve the accuracy and the efficiency and reduce errors.
Keywords:requirement traceability  software requirements  developer collaboration relationship  code commit log  information retrieval
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